Advertisement

Model Calibration and Parameter Estimation

For Environmental and Water Resource Systems

  • Ne-Zheng Sun
  • Alexander Sun

Table of contents

  1. Front Matter
    Pages i-xxviii
  2. Ne-Zheng Sun, Alexander Sun
    Pages 1-24
  3. Ne-Zheng Sun, Alexander Sun
    Pages 25-67
  4. Ne-Zheng Sun, Alexander Sun
    Pages 69-105
  5. Ne-Zheng Sun, Alexander Sun
    Pages 107-139
  6. Ne-Zheng Sun, Alexander Sun
    Pages 141-184
  7. Ne-Zheng Sun, Alexander Sun
    Pages 185-245
  8. Ne-Zheng Sun, Alexander Sun
    Pages 247-303
  9. Ne-Zheng Sun, Alexander Sun
    Pages 305-359
  10. Ne-Zheng Sun, Alexander Sun
    Pages 361-406
  11. Ne-Zheng Sun, Alexander Sun
    Pages 407-458
  12. Ne-Zheng Sun, Alexander Sun
    Pages 459-507
  13. Ne-Zheng Sun, Alexander Sun
    Pages 509-551
  14. Back Matter
    Pages 553-621

About this book

Introduction

This three-part book provides a comprehensive and systematic introduction to the development of useful models for complex systems. Part 1 covers the classical inverse problem for parameter estimation in both deterministic and statistical frameworks, Part 2 is dedicated to system identification, hyperparameter estimation, and model dimension reduction, and Part 3 considers how to collect data and construct reliable models for prediction and decision-making.

For the first time, topics such as multiscale inversion, stochastic field parameterization, level set method, machine learning, global sensitivity analysis, data assimilation, model uncertainty quantification, robust design, and goal-oriented modeling, are systematically described and summarized in a single book from the perspective of model inversion, and elucidated with numerical examples from environmental and water resources modeling. Readers of this book will not only learn basic concepts and methods for simple parameter estimation, but also get familiar with advanced methods for modeling complex systems. Algorithms for mathematical tools used in this book, such as numerical optimization, automatic differentiation, adaptive parameterization, hierarchical Bayesian, metamodeling, Markov chain Monte Carlo, are covered in details.

This book can useful for graduate and upper level undergraduate students majoring in environmental engineering, hydrology, and geosciences. It also serves as an essential reference book for petroleum engineers, mining engineers, chemists, mechanical engineers, ecologists, biomedical engineers, applied mathematicians, and others who perform mathematical modeling.

Keywords

Forward Problems Inverse Problems Mathematical Modeling Model Calibration and Parameter Estimation Singluar Vector Decomposition

Authors and affiliations

  • Ne-Zheng Sun
    • 1
  • Alexander Sun
    • 2
  1. 1.Department of Civil and Environmental EngineeringUniversity of California at Los AngelesLos AngelesUSA
  2. 2.Bureau of Economics Geology, Jackson School of GeosciencesUniveristy of Texas at AustinSan AntonioUSA

Bibliographic information

Industry Sectors
Pharma
Consumer Packaged Goods
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences
Engineering